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PurposeThis study aims to explore: first, the formation of the customer value of high‐tech consumer products through application of intrinsic and extrinsic cues of product quality; and second, the effect of the mental price category of the product on the construction of customer value.Design/methodology/approachThe study was conducted in the Finnish consumer market in 2008. In total, 453 completed interview forms were collected through the structured interview method. The factor model was constructed through explorative factor analysis and hypothesis testing was conducted through linear multiple‐regression analysis.FindingsThe high‐tech product's price category was found to have a significant effect on the construction of the customer value. The mental price category in which consumers located the product was found to dictate how the perceived value was constructed through the intrinsic and extrinsic dimensions of product quality. The customer value of high‐tech consumer products was composed of visual appeal, excellence, and price satisfaction. Intrinsic cues of product quality were emphasised.Originality/valueThe study provides new insights into how the formation of customer value is dictated by the mental price category perceived by consumers. Also, new information on how intrinsic and extrinsic cues of product quality affect the customer value of high‐tech consumer products was provided.

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Structured Abstract:Purpose Perceived risk is an intrinsic element of all organizational decision-making and business relationships. It is closely interconnected with relationship commitment and strongly affects the buying decisions. Therefore, the organizations that best understand the risks perceived by their customers and hold the means that allow the customers to accommodate these risks, possess a significant competitive edge. Design Type footer information here Type header information hereThis research surveys 165 companies on purchase-related risk perceptions and tests the effects of three risk dimensions on relations commitment, and the effectiveness of procedural control on managing these risks. Moderation effect of buying situation is also tested. Structural equation modelling is used to test the conceptual model on data from Finnish companies. FindingsThe participants in organizational buying experience three types of risks, product performance, personal psychological, and personal financial risks. Higher product performance and personal financial risks are found to decrease the customer's commitment to the supplier, whilst higher psychological risks have a positive effect on relationship commitment. Procedural control is confirmed as an effective application in managing risks in organizational buying process. Buying situation significantly affects the model. OriginalityThe present study shows that purchase-related risk perception is a multidimensional construct which consist of both organizational and individual level aspects. We also provide new insights into the effectiveness of procedural control on mitigating organizational risk perceptions in different buying situations.Keywords: organizational buying, relationship commitment, perceived risk, procedural control Article Classification: Research paper For internal production use only Running Heads:The influence of purchase-related risk perceptions on relationship commitment PurposePerceived risk is an intrinsic element of all organizational decision-making and business relationships. It is closely interconnected with relationship commitment and strongly affects the buying decisions. Therefore, the organizations that best understand the risks perceived by their customers and hold the means that allow the customers to accommodate these risks, possess a significant competitive edge. DesignThis research surveys 165 companies on purchase-related risk perceptions and tests the effects of three risk dimensions on relations commitment, and the effectiveness of procedural control on managing these risks. Moderation effect of buying situation is also tested. Structural equation modelling is used to test the conceptual model on data from companies that had recently been in significant new buy or modified re-buy situations. FindingsThe participants in organizational buying experience three types of risks, product performance, personal psychological, and personal financial risks. Higher product performance and personal financial risks are found to decrease the ...

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